This framework enables scalable, anatomically realistic dosimetry in breast imaging, improving assessment protocols.
This work establishes a validated digital-to-physical workflow that links parameterized breast models with tissue-equivalent phantoms. It enables scalable and anatomically realistic phantom generation for spatially resolved mammographic dosimetry. The framework provides a standardized basis for developing diverse phantom libraries, optimizing dose assessment, and advancing individualized as well as population-based breast imaging protocols.
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Liu et al. (2026) studied this question.
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